PPDock: Pocket Prediction-Based Protein-Ligand Blind Docking.

Predicting the docking conformation of a ligand in the protein binding site (pocket), i.e., protein-ligand docking, is crucial for drug discovery.

High Gain, Low Voltage Solar-Blind Deep UV Photodetector Based on GaO/(AlGa)O/GaN nBp Heterojunction.

In this study an (AlGa)O barrier layer is inserted between β-GaO and GaN in a p-GaN/n-GaO diode photodetector, causing the dark current to decrease considerably, and device performance to improve significantly. The β-GaO/β-(AlGa)O/GaN n-type/Barrier/p-type photodetector achieves a photocurrent gain of 1246, responsivity of 237 A W, and specific detectivity of 5.23 × 10 cm Hz W under a bias of -20 V.

Construction of a prognostic model for gastric cancer based on immune infiltration and microenvironment, and exploration of MEF2C gene function.

Background: Advanced gastric cancer (GC) exhibits a high recurrence rate and a dismal prognosis. Myocyte enhancer factor 2c (MEF2C) was found to contribute to the development of various types of cancer. Therefore, our aim is to develop a prognostic model that predicts the prognosis of GC patients and initially explore the role of MEF2C in immunotherapy for GC.

Risk factors and prediction model of breast cancer-related lymphoedema in a Chinese cancer centre: a prospective cohort study protocol.

Introduction: Lymphoedema is a distressing and long-term complication for breast cancer survivors. However, the reported incidence of lymphoedema varies, and its risk factors remain underexplored. Currently, a well-established risk prediction model is still lacking.